Electricity is the core power of the modern industry, but it poses a potential risk of causing serious disasters such as electric shock and electric fire. However, the current industrial accident statistical classification system does not clearly reve...
Electricity is the core power of the modern industry, but it poses a potential risk of causing serious disasters such as electric shock and electric fire. However, the current industrial accident statistical classification system does not clearly reveal the root cause of electrical accidents, and the government's safety policy also tends to be relatively marginalized due to the concentration of mechanical and physical risk factors. Above all, despite the various processes and environments of industrial sites, the current management method that applies uniform legal standards is a major cause of lowering the efficiency of safety management.
Therefore, this study collected and analyzed 792 cases of violation of laws at 95 workplaces that were ordered to be diagnosed by the Ministry of Employment and Labor due to industrial accidents over the past decade from 2015 to 2024. The purpose of this study is to identify common electrical risk factors across the industry, empirically identify unique risk characteristics differentiated for each of the eight major industries through Relative Risk (RR) analysis techniques, and suggest a data-based customized safety management plan.
The main analysis results are as follows. First, as a result of frequency analysis, it was confirmed that 61.3% of all violations were concentrated on the 'four basic safety measures' such as not grounding, insufficient protection of charging units, improper installation of electric machinery and equipment, and not installing short circuit breakers. This suggests that failure to comply with basic safety rules is the main cause of the accident rather than high technical defects. Second, as a result of cross-analysis and relative risk analysis, it was proved that there were distinct differences in violation patterns for each industry group. The manufacturing industry had a high risk of violating the protection measures for charging units in the process of prioritizing production efficiency, the construction industry had a high risk of poor management of hypothesis distribution panels and mobile wires, and the service industry had a statistically significantly higher risk of facility misuse by non-experts than other industries.
Based on these results, this study proposed a 'customized safety management plan for each industry' that selects and manages the upper risk factors of each industry as 'intensive management items', breaking away from the existing method of applying the same safety check items to all industries. This study is significant in that it quantitatively identifies the specificity of risks by industry based on actual accident data and provides a policy and practical basis for efficiently allocating limited safety resources. In future studies, it is necessary to further advance the suggestions of this study through comparative analysis with disaster-free workplaces and identification of causality with serious disasters.